Update README.md

Author: vaitybharati

README.md

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 # P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-
+# Using Entropy Criteria - Classification Model
+
+Import Libraries and data set
+
+EDA
+
+Apply Label Encoding
+
+## Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria
+
+Splitting data into training and testing dataset
+
+C5.0 Entropy - Training the Model
+
+C5.0 Entropy - Trained Model Accuracy
+
+Plot the decision tree
+
+Better visualization of Decision Tree
+
+## Validation & Testing Decision Tree Classifier (C5.0) Model¶
+
+Predicting on test data
+
+Getting the 2 way table to understand the correct and wrong predictions
+
+C5.0 Entropy - Test Model Accuracy